Pandas Profiling Report

Dataset statistics

Number of variables	30
Number of observations	40031
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	9.5 MiB
Average record size in memory	248.0 B

Variable types

Numeric	13
DateTime	2
Categorical	13
Unsupported	2

Warnings

`year_number` has constant value "2019"	Constant
`Product_SKU` has a high cardinality: 1113 distinct values	High cardinality
`Product_Description` has a high cardinality: 403 distinct values	High cardinality
`Transaction_ID` is highly correlated with `week_number` and 1 other fields	High correlation
`week_number` is highly correlated with `Transaction_ID` and 1 other fields	High correlation
`month_number` is highly correlated with `Transaction_ID` and 1 other fields	High correlation
`Location` is highly correlated with `year_number`	High correlation
`Product_Category` is highly correlated with `year_number` and 1 other fields	High correlation
`year_number` is highly correlated with `Location` and 9 other fields	High correlation
`Coupon_Code` is highly correlated with `year_number` and 2 other fields	High correlation
`User_type` is highly correlated with `year_number`	High correlation
`GST` is highly correlated with `Product_Category` and 2 other fields	High correlation
`Coupon_Status` is highly correlated with `year_number`	High correlation
`Discount_pct` is highly correlated with `year_number` and 1 other fields	High correlation
`Gender` is highly correlated with `year_number`	High correlation
`Visit_days_average` is highly correlated with `year_number`	High correlation
`revenue_seg` is highly correlated with `year_number`	High correlation
`Quantity` is highly skewed (γ1 = 20.23009436)	Skewed
`revenue` is highly skewed (γ1 = 42.29610585)	Skewed
`Transaction_Date_Month_x` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Transaction_Date_Month_y` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2022-01-08 19:31:27.458280
Analysis finished	2022-01-08 19:31:58.988886
Duration	31.53 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

CustomerID
Real number (ℝ_≥0)

Distinct	734
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	15317.42497
Minimum	12347
Maximum	18283
Zeros	0
Zeros (%)	0.0%
Memory size	625.5 KiB

Quantile statistics

Minimum	12347
5-th percentile	12625
Q1	13815
median	15281
Q3	16946.5
95-th percentile	17961
Maximum	18283
Range	5936
Interquartile range (IQR)	3131.5

Descriptive statistics

Standard deviation	1767.723598
Coefficient of variation (CV)	0.1154060556
Kurtosis	-1.229290173
Mean	15317.42497
Median Absolute Deviation (MAD)	1577
Skewness	-0.007157434299
Sum	613171839
Variance	3124846.719
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12748	695	1.7%
15311	587	1.5%
14606	575	1.4%
17841	572	1.4%
14911	523	1.3%
13089	366	0.9%
15039	315	0.8%
17850	297	0.7%
14646	290	0.7%
13081	261	0.7%
Other values (724)	35550	88.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
12347	60	0.1%
12348	23	0.1%
12370	91	0.2%
12377	77	0.2%
12383	69	0.2%

Value	Count	Frequency (%)
18283	102	0.3%
18269	8	< 0.1%
18260	40	0.1%
18245	55	0.1%
18239	52	0.1%

Transaction_ID
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	19240
Distinct (%)	48.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	32218.71512
Minimum	16679
Maximum	48468
Zeros	0
Zeros (%)	0.0%
Memory size	625.5 KiB

Quantile statistics

Minimum	16679
5-th percentile	18778.5
Q1	25232
median	32405
Q3	38731.5
95-th percentile	46379
Maximum	48468
Range	31789
Interquartile range (IQR)	13499.5

Descriptive statistics

Standard deviation	8516.175972
Coefficient of variation (CV)	0.2643238857
Kurtosis	-0.996507855
Mean	32218.71512
Median Absolute Deviation (MAD)	6795
Skewness	0.04324610802
Sum	1289747385
Variance	72525253.18
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
34094	28	0.1%
38059	27	0.1%
24820	24	0.1%
33228	23	0.1%
39392	23	0.1%
34189	22	0.1%
36082	22	0.1%
32526	22	0.1%
33668	21	0.1%
36871	21	0.1%
Other values (19230)	39798	99.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
16679	1	< 0.1%
16680	1	< 0.1%
16681	1	< 0.1%
16682	10	< 0.1%
16684	2	< 0.1%

Value	Count	Frequency (%)
48468	1	< 0.1%
48467	2	< 0.1%
48466	1	< 0.1%
48465	1	< 0.1%
48464	1	< 0.1%

Transaction_Date
Date

Distinct	365
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	625.5 KiB

Minimum	2019-01-01 00:00:00
Maximum	2019-12-31 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

Product_SKU
Categorical

HIGH CARDINALITY

Distinct	1113
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Memory size	625.5 KiB

GGOENEBJ079499	2660
GGOENEBQ078999	2579
GGOENEBB078899	2482
GGOENEBQ079099	1037
GGOENEBQ079199	812
Other values (1108)	30461

Length

Max length	14
Median length	14
Mean length	13.99980015
Min length	12

Characters and Unicode

Total characters	560426
Distinct characters	34
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	99 ?
Unique (%)	0.2%

Sample

1st row	GGOENEBJ079499
2nd row	GGOENEBJ079499
3rd row	GGOENEBQ078999
4th row	GGOENEBQ079099
5th row	GGOENEBJ079499

Value	Count	Frequency (%)
GGOENEBJ079499	2660	6.6%
GGOENEBQ078999	2579	6.4%
GGOENEBB078899	2482	6.2%
GGOENEBQ079099	1037	2.6%
GGOENEBQ079199	812	2.0%
GGOENEBQ084699	809	2.0%
GGOENEBQ086799	614	1.5%
GGOEGFKQ020399	598	1.5%
GGOENEBQ086499	444	1.1%
GGOEGDHC018299	433	1.1%
Other values (1103)	27563	68.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
ggoenebj079499	2660	6.6%
ggoenebq078999	2579	6.4%
ggoenebb078899	2482	6.2%
ggoenebq079099	1037	2.6%
ggoenebq079199	812	2.0%
ggoenebq084699	809	2.0%
ggoenebq086799	614	1.5%
ggoegfkq020399	598	1.5%
ggoenebq086499	444	1.1%
ggoegdhc018299	433	1.1%
Other values (1103)	27563	68.9%

Most occurring characters

Value	Count	Frequency (%)
G	103945	18.5%
9	65110	11.6%
E	55623	9.9%
0	50244	9.0%
O	43781	7.8%
1	26606	4.7%
A	24419	4.4%
B	22933	4.1%
7	18982	3.4%
8	18190	3.2%
Other values (24)	130593	23.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	320236	57.1%
Decimal Number	240190	42.9%

Most frequent character per category

Value	Count	Frequency (%)
G	103945	32.5%
E	55623	17.4%
O	43781	13.7%
A	24419	7.6%
B	22933	7.2%
N	12674	4.0%
Q	11990	3.7%
J	8629	2.7%
H	6110	1.9%
C	5404	1.7%
Other values (14)	24728	7.7%

Value	Count	Frequency (%)
9	65110	27.1%
0	50244	20.9%
1	26606	11.1%
7	18982	7.9%
8	18190	7.6%
3	14847	6.2%
4	13100	5.5%
6	11313	4.7%
2	11154	4.6%
5	10644	4.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	320236	57.1%
Common	240190	42.9%

Most frequent character per script

Value	Count	Frequency (%)
G	103945	32.5%
E	55623	17.4%
O	43781	13.7%
A	24419	7.6%
B	22933	7.2%
N	12674	4.0%
Q	11990	3.7%
J	8629	2.7%
H	6110	1.9%
C	5404	1.7%
Other values (14)	24728	7.7%

Value	Count	Frequency (%)
9	65110	27.1%
0	50244	20.9%
1	26606	11.1%
7	18982	7.9%
8	18190	7.6%
3	14847	6.2%
4	13100	5.5%
6	11313	4.7%
2	11154	4.6%
5	10644	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	560426	100.0%

Most frequent character per block

Value	Count	Frequency (%)
G	103945	18.5%
9	65110	11.6%
E	55623	9.9%
0	50244	9.0%
O	43781	7.8%
1	26606	4.7%
A	24419	4.4%
B	22933	4.1%
7	18982	3.4%
8	18190	3.2%
Other values (24)	130593	23.3%

Product_Description
Categorical

HIGH CARDINALITY

Distinct	403
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	625.5 KiB

Nest Learning Thermostat 3rd Gen-USA - Stainless Steel	2660
Nest Cam Outdoor Security Camera - USA	2579
Nest Cam Indoor Security Camera - USA	2482
Google Sunglasses	1185
Nest Protect Smoke + CO White Battery Alarm-USA	1037
Other values (398)	30088

Length

Max length	59
Median length	37
Mean length	34.23591716
Min length	8

Characters and Unicode

Total characters	1370498
Distinct characters	74
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	< 0.1%

Sample

1st row	Nest Learning Thermostat 3rd Gen-USA - Stainless Steel
2nd row	Nest Learning Thermostat 3rd Gen-USA - Stainless Steel
3rd row	Nest Cam Outdoor Security Camera - USA
4th row	Nest Protect Smoke + CO White Battery Alarm-USA
5th row	Nest Learning Thermostat 3rd Gen-USA - Stainless Steel

Value	Count	Frequency (%)
Nest Learning Thermostat 3rd Gen-USA - Stainless Steel	2660	6.6%
Nest Cam Outdoor Security Camera - USA	2579	6.4%
Nest Cam Indoor Security Camera - USA	2482	6.2%
Google Sunglasses	1185	3.0%
Nest Protect Smoke + CO White Battery Alarm-USA	1037	2.6%
Nest Protect Smoke + CO White Wired Alarm-USA	812	2.0%
Nest Learning Thermostat 3rd Gen-USA - White	809	2.0%
Google 22 oz Water Bottle	679	1.7%
Nest Thermostat E - USA	614	1.5%
Google Laptop and Cell Phone Stickers	598	1.5%
Other values (393)	26576	66.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
google	16442	7.2%
	13328	5.8%
nest	12572	5.5%
tee	8786	3.9%
men's	7001	3.1%
usa	6672	2.9%
sleeve	6126	2.7%
cam	5725	2.5%
short	5548	2.4%
camera	5169	2.3%
Other values (392)	140633	61.7%

Most occurring characters

Value	Count	Frequency (%)
	188328	13.7%
e	172983	12.6%
o	99814	7.3%
t	81161	5.9%
a	69444	5.1%
r	68473	5.0%
l	61658	4.5%
n	51003	3.7%
S	47393	3.5%
s	44653	3.3%
Other values (64)	485588	35.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	892197	65.1%
Uppercase Letter	241231	17.6%
Space Separator	188328	13.7%
Dash Punctuation	17510	1.3%
Decimal Number	15067	1.1%
Other Punctuation	13889	1.0%
Math Symbol	1932	0.1%
Currency Symbol	124	< 0.1%
Open Punctuation	110	< 0.1%
Close Punctuation	110	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
S	47393	19.6%
G	23249	9.6%
C	21458	8.9%
T	18833	7.8%
A	18228	7.6%
N	14732	6.1%
B	13872	5.8%
U	12575	5.2%
W	10699	4.4%
M	9491	3.9%
Other values (16)	50701	21.0%

Value	Count	Frequency (%)
e	172983	19.4%
o	99814	11.2%
t	81161	9.1%
a	69444	7.8%
r	68473	7.7%
l	61658	6.9%
n	51003	5.7%
s	44653	5.0%
i	36408	4.1%
g	31228	3.5%
Other values (16)	175372	19.7%

Value	Count	Frequency (%)
3	4080	27.1%
0	3154	20.9%
1	2665	17.7%
2	2592	17.2%
4	965	6.4%
5	698	4.6%
7	418	2.8%
6	292	1.9%
8	181	1.2%
9	22	0.1%

Value	Count	Frequency (%)
'	10220	73.6%
/	1443	10.4%
%	1337	9.6%
&	652	4.7%
.	124	0.9%
;	113	0.8%

Value	Count	Frequency (%)
	188328	100.0%

Value	Count	Frequency (%)
-	17510	100.0%

Value	Count	Frequency (%)
+	1932	100.0%

Value	Count	Frequency (%)
(	110	100.0%

Value	Count	Frequency (%)
)	110	100.0%

Value	Count	Frequency (%)
$	124	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1133428	82.7%
Common	237070	17.3%

Most frequent character per script

Value	Count	Frequency (%)
e	172983	15.3%
o	99814	8.8%
t	81161	7.2%
a	69444	6.1%
r	68473	6.0%
l	61658	5.4%
n	51003	4.5%
S	47393	4.2%
s	44653	3.9%
i	36408	3.2%
Other values (42)	400438	35.3%

Value	Count	Frequency (%)
	188328	79.4%
-	17510	7.4%
'	10220	4.3%
3	4080	1.7%
0	3154	1.3%
1	2665	1.1%
2	2592	1.1%
+	1932	0.8%
/	1443	0.6%
%	1337	0.6%
Other values (12)	3809	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1370498	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	188328	13.7%
e	172983	12.6%
o	99814	7.3%
t	81161	5.9%
a	69444	5.1%
r	68473	5.0%
l	61658	4.5%
n	51003	3.7%
S	47393	3.5%
s	44653	3.3%
Other values (64)	485588	35.4%

Product_Category
Categorical

HIGH CORRELATION

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	625.5 KiB

Apparel	13696
Nest-USA	10708
Office	4872
Drinkware	2614
Lifestyle	2377
Other values (15)	5764

Length

Max length	20
Median length	7
Mean length	7.383727611
Min length	3

Characters and Unicode

Total characters	295578
Distinct characters	38
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Nest-USA
2nd row	Nest-USA
3rd row	Nest-USA
4th row	Nest-USA
5th row	Nest-USA

Value	Count	Frequency (%)
Apparel	13696	34.2%
Nest-USA	10708	26.7%
Office	4872	12.2%
Drinkware	2614	6.5%
Lifestyle	2377	5.9%
Nest	1621	4.0%
Bags	1400	3.5%
Headgear	581	1.5%
Notebooks & Journals	568	1.4%
Waze	422	1.1%
Other values (10)	1172	2.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
apparel	13696	33.1%
nest-usa	10708	25.9%
office	4872	11.8%
drinkware	2614	6.3%
lifestyle	2377	5.8%
nest	1621	3.9%
bags	1435	3.5%
headgear	581	1.4%
	568	1.4%
journals	568	1.4%
Other values (13)	2286	5.5%

Most occurring characters

Value	Count	Frequency (%)
e	41489	14.0%
p	27464	9.3%
A	24601	8.3%
a	20982	7.1%
r	20517	6.9%
s	18595	6.3%
l	16931	5.7%
t	16063	5.4%
N	13140	4.4%
f	12245	4.1%
Other values (28)	83551	28.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	209639	70.9%
Uppercase Letter	73125	24.7%
Dash Punctuation	10951	3.7%
Space Separator	1295	0.4%
Other Punctuation	568	0.2%

Most frequent character per category

Value	Count	Frequency (%)
e	41489	19.8%
p	27464	13.1%
a	20982	10.0%
r	20517	9.8%
s	18595	8.9%
l	16931	8.1%
t	16063	7.7%
f	12245	5.8%
i	10184	4.9%
c	5344	2.5%
Other values (10)	19825	9.5%

Value	Count	Frequency (%)
A	24601	33.6%
N	13140	18.0%
U	10708	14.6%
S	10708	14.6%
O	4872	6.7%
D	2614	3.6%
L	2377	3.3%
B	1718	2.3%
H	669	0.9%
J	568	0.8%
Other values (5)	1150	1.6%

Value	Count	Frequency (%)
-	10951	100.0%

Value	Count	Frequency (%)
	1295	100.0%

Value	Count	Frequency (%)
&	568	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	282764	95.7%
Common	12814	4.3%

Most frequent character per script

Value	Count	Frequency (%)
e	41489	14.7%
p	27464	9.7%
A	24601	8.7%
a	20982	7.4%
r	20517	7.3%
s	18595	6.6%
l	16931	6.0%
t	16063	5.7%
N	13140	4.6%
f	12245	4.3%
Other values (25)	70737	25.0%

Value	Count	Frequency (%)
-	10951	85.5%
	1295	10.1%
&	568	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	295578	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	41489	14.0%
p	27464	9.3%
A	24601	8.3%
a	20982	7.1%
r	20517	6.9%
s	18595	6.3%
l	16931	5.7%
t	16063	5.4%
N	13140	4.4%
f	12245	4.1%
Other values (28)	83551	28.3%

Quantity
Real number (ℝ_≥0)

SKEWED

Distinct	127
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.415378082
Minimum	1
Maximum	900
Zeros	0
Zeros (%)	0.0%
Memory size	625.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	15
Maximum	900
Range	899
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	20.26703266
Coefficient of variation (CV)	4.590101297
Kurtosis	584.0241908
Mean	4.415378082
Median Absolute Deviation (MAD)	0
Skewness	20.23009436
Sum	176752
Variance	410.7526129
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	26781	66.9%
2	5333	13.3%
3	1756	4.4%
5	1283	3.2%
4	929	2.3%
10	779	1.9%
20	426	1.1%
6	317	0.8%
15	279	0.7%
25	221	0.6%
Other values (117)	1927	4.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	26781	66.9%
2	5333	13.3%
3	1756	4.4%
4	929	2.3%
5	1283	3.2%

Value	Count	Frequency (%)
900	1	< 0.1%
825	2	< 0.1%
791	1	< 0.1%
750	1	< 0.1%
600	3	< 0.1%

Avg_Price
Real number (ℝ_≥0)

Distinct	506
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	52.41615373
Minimum	0.39
Maximum	355.74
Zeros	0
Zeros (%)	0.0%
Memory size	625.5 KiB

Quantile statistics

Minimum	0.39
5-th percentile	1.99
Q1	5.7
median	16.99
Q3	119
95-th percentile	151.88
Maximum	355.74
Range	355.35
Interquartile range (IQR)	113.3

Descriptive statistics

Standard deviation	63.92781142
Coefficient of variation (CV)	1.21962042
Kurtosis	3.306880462
Mean	52.41615373
Median Absolute Deviation (MAD)	14.19
Skewness	1.62114731
Sum	2098271.05
Variance	4086.765073
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
119	4041	10.1%
149	2982	7.4%
79	1509	3.8%
13.59	1160	2.9%
2.99	970	2.4%
2.39	955	2.4%
16.99	843	2.1%
15.19	771	1.9%
1.99	745	1.9%
3.99	736	1.8%
Other values (496)	25319	63.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.39	1	< 0.1%
0.4	35	0.1%
0.41	11	< 0.1%
0.5	26	0.1%
0.51	20	< 0.1%

Value	Count	Frequency (%)
355.74	129	0.3%
349	245	0.6%
279	109	0.3%
274.19	1	< 0.1%
269	1	< 0.1%

Delivery_Charges
Real number (ℝ_≥0)

Distinct	241
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	10.44624541
Minimum	0
Maximum	521.36
Zeros	127
Zeros (%)	0.3%
Memory size	625.5 KiB

Quantile statistics

Minimum	0
5-th percentile	6
Q1	6
median	6
Q3	6.5
95-th percentile	26.43
Maximum	521.36
Range	521.36
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	18.43257371
Coefficient of variation (CV)	1.764516627
Kurtosis	220.1261797
Mean	10.44624541
Median Absolute Deviation (MAD)	0
Skewness	11.89477448
Sum	418173.65
Variance	339.7597736
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	20363	50.9%
6.5	11923	29.8%
12.99	1949	4.9%
19.99	747	1.9%
12.48	555	1.4%
12.91	328	0.8%
8.7	250	0.6%
0	127	0.3%
18.47	111	0.3%
75	87	0.2%
Other values (231)	3591	9.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	127	0.3%
6	20363	50.9%
6.46	9	< 0.1%
6.48	21	0.1%
6.5	11923	29.8%

Value	Count	Frequency (%)
521.36	1	< 0.1%
492.84	10	< 0.1%
422.24	4	< 0.1%
354	3	< 0.1%
323.47	4	< 0.1%

Coupon_Status
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	625.5 KiB

Clicked	20359
Used	13572
Not Used	6100

Length

Max length	8
Median length	7
Mean length	6.135270166
Min length	4

Characters and Unicode

Total characters	245601
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Used
2nd row	Used
3rd row	Not Used
4th row	Clicked
5th row	Clicked

Value	Count	Frequency (%)
Clicked	20359	50.9%
Used	13572	33.9%
Not Used	6100	15.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
clicked	20359	44.1%
used	19672	42.6%
not	6100	13.2%

Most occurring characters

Value	Count	Frequency (%)
e	40031	16.3%
d	40031	16.3%
C	20359	8.3%
l	20359	8.3%
i	20359	8.3%
c	20359	8.3%
k	20359	8.3%
U	19672	8.0%
s	19672	8.0%
N	6100	2.5%
Other values (3)	18300	7.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	193370	78.7%
Uppercase Letter	46131	18.8%
Space Separator	6100	2.5%

Most frequent character per category

Value	Count	Frequency (%)
e	40031	20.7%
d	40031	20.7%
l	20359	10.5%
i	20359	10.5%
c	20359	10.5%
k	20359	10.5%
s	19672	10.2%
o	6100	3.2%
t	6100	3.2%

Value	Count	Frequency (%)
C	20359	44.1%
U	19672	42.6%
N	6100	13.2%

Value	Count	Frequency (%)
	6100	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	239501	97.5%
Common	6100	2.5%

Most frequent character per script

Value	Count	Frequency (%)
e	40031	16.7%
d	40031	16.7%
C	20359	8.5%
l	20359	8.5%
i	20359	8.5%
c	20359	8.5%
k	20359	8.5%
U	19672	8.2%
s	19672	8.2%
N	6100	2.5%
Other values (2)	12200	5.1%

Value	Count	Frequency (%)
	6100	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	245601	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	40031	16.3%
d	40031	16.3%
C	20359	8.3%
l	20359	8.3%
i	20359	8.3%
c	20359	8.3%
k	20359	8.3%
U	19672	8.0%
s	19672	8.0%
N	6100	2.5%
Other values (3)	18300	7.5%

Gender
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	625.5 KiB

F	24966
M	15065

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	40031
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	M
2nd row	M
3rd row	M
4th row	M
5th row	M

Value	Count	Frequency (%)
F	24966	62.4%
M	15065	37.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
f	24966	62.4%
m	15065	37.6%

Most occurring characters

Value	Count	Frequency (%)
F	24966	62.4%
M	15065	37.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	40031	100.0%

Most frequent character per category

Value	Count	Frequency (%)
F	24966	62.4%
M	15065	37.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	40031	100.0%

Most frequent character per script

Value	Count	Frequency (%)
F	24966	62.4%
M	15065	37.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	40031	100.0%

Most frequent character per block

Value	Count	Frequency (%)
F	24966	62.4%
M	15065	37.6%

Location
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	625.5 KiB

Chicago	14584
California	11805
New York	8374
New Jersey	3182
Washington DC	2086

Length

Max length	13
Median length	8
Mean length	8.645000125
Min length	7

Characters and Unicode

Total characters	346068
Distinct characters	23
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Chicago
2nd row	Chicago
3rd row	Chicago
4th row	Chicago
5th row	Chicago

Value	Count	Frequency (%)
Chicago	14584	36.4%
California	11805	29.5%
New York	8374	20.9%
New Jersey	3182	7.9%
Washington DC	2086	5.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
chicago	14584	27.2%
california	11805	22.0%
new	11556	21.5%
york	8374	15.6%
jersey	3182	5.9%
dc	2086	3.9%
washington	2086	3.9%

Most occurring characters

Value	Count	Frequency (%)
i	40280	11.6%
a	40280	11.6%
o	36849	10.6%
C	28475	8.2%
r	23361	6.8%
e	17920	5.2%
h	16670	4.8%
g	16670	4.8%
n	15977	4.6%
c	14584	4.2%
Other values (13)	95002	27.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	276667	79.9%
Uppercase Letter	55759	16.1%
Space Separator	13642	3.9%

Most frequent character per category

Value	Count	Frequency (%)
i	40280	14.6%
a	40280	14.6%
o	36849	13.3%
r	23361	8.4%
e	17920	6.5%
h	16670	6.0%
g	16670	6.0%
n	15977	5.8%
c	14584	5.3%
l	11805	4.3%
Other values (6)	42271	15.3%

Value	Count	Frequency (%)
C	28475	51.1%
N	11556	20.7%
Y	8374	15.0%
J	3182	5.7%
W	2086	3.7%
D	2086	3.7%

Value	Count	Frequency (%)
	13642	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	332426	96.1%
Common	13642	3.9%

Most frequent character per script

Value	Count	Frequency (%)
i	40280	12.1%
a	40280	12.1%
o	36849	11.1%
C	28475	8.6%
r	23361	7.0%
e	17920	5.4%
h	16670	5.0%
g	16670	5.0%
n	15977	4.8%
c	14584	4.4%
Other values (12)	81360	24.5%

Value	Count	Frequency (%)
	13642	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	346068	100.0%

Most frequent character per block

Value	Count	Frequency (%)
i	40280	11.6%
a	40280	11.6%
o	36849	10.6%
C	28475	8.2%
r	23361	6.8%
e	17920	5.2%
h	16670	4.8%
g	16670	4.8%
n	15977	4.6%
c	14584	4.2%
Other values (13)	95002	27.5%

Tenure_Months
Real number (ℝ_≥0)

Distinct	49
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	25.9437436
Minimum	2
Maximum	50
Zeros	0
Zeros (%)	0.0%
Memory size	625.5 KiB

Quantile statistics

Minimum	2
5-th percentile	5
Q1	14
median	27
Q3	37
95-th percentile	46
Maximum	50
Range	48
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	13.33459876
Coefficient of variation (CV)	0.5139812884
Kurtosis	-1.095924454
Mean	25.9437436
Median Absolute Deviation (MAD)	11
Skewness	-0.0922319672
Sum	1038554
Variance	177.8115241
Monotocity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
40	1653	4.1%
25	1632	4.1%
30	1493	3.7%
34	1434	3.6%
5	1421	3.5%
33	1410	3.5%
21	1263	3.2%
28	1242	3.1%
45	1176	2.9%
10	1146	2.9%
Other values (39)	26161	65.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	467	1.2%
3	561	1.4%
4	706	1.8%
5	1421	3.5%
6	1034	2.6%

Value	Count	Frequency (%)
50	443	1.1%
49	412	1.0%
48	633	1.6%
47	349	0.9%
46	610	1.5%

GST
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	625.5 KiB

0.18	20667
0.1	16171
0.05	3105
0.12	88

Length

Max length	4
Median length	4
Mean length	3.59603807
Min length	3

Characters and Unicode

Total characters	143953
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.1
2nd row	0.1
3rd row	0.1
4th row	0.1
5th row	0.1

Value	Count	Frequency (%)
0.18	20667	51.6%
0.1	16171	40.4%
0.05	3105	7.8%
0.12	88	0.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.18	20667	51.6%
0.1	16171	40.4%
0.05	3105	7.8%
0.12	88	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	43136	30.0%
.	40031	27.8%
1	36926	25.7%
8	20667	14.4%
5	3105	2.2%
2	88	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	103922	72.2%
Other Punctuation	40031	27.8%

Most frequent character per category

Value	Count	Frequency (%)
0	43136	41.5%
1	36926	35.5%
8	20667	19.9%
5	3105	3.0%
2	88	0.1%

Value	Count	Frequency (%)
.	40031	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	143953	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	43136	30.0%
.	40031	27.8%
1	36926	25.7%
8	20667	14.4%
5	3105	2.2%
2	88	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	143953	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	43136	30.0%
.	40031	27.8%
1	36926	25.7%
8	20667	14.4%
5	3105	2.2%
2	88	0.1%

Transaction_Date_Month_x
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	625.5 KiB

Transaction_Date_Month_y
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	625.5 KiB

User_type
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	625.5 KiB

Existing	20891
New	19140

Length

Max length	8
Median length	8
Mean length	5.609352752
Min length	3

Characters and Unicode

Total characters	224548
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	New
2nd row	New
3rd row	New
4th row	New
5th row	New

Value	Count	Frequency (%)
Existing	20891	52.2%
New	19140	47.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
existing	20891	52.2%
new	19140	47.8%

Most occurring characters

Value	Count	Frequency (%)
i	41782	18.6%
E	20891	9.3%
x	20891	9.3%
s	20891	9.3%
t	20891	9.3%
n	20891	9.3%
g	20891	9.3%
N	19140	8.5%
e	19140	8.5%
w	19140	8.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	184517	82.2%
Uppercase Letter	40031	17.8%

Most frequent character per category

Value	Count	Frequency (%)
i	41782	22.6%
x	20891	11.3%
s	20891	11.3%
t	20891	11.3%
n	20891	11.3%
g	20891	11.3%
e	19140	10.4%
w	19140	10.4%

Value	Count	Frequency (%)
E	20891	52.2%
N	19140	47.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	224548	100.0%

Most frequent character per script

Value	Count	Frequency (%)
i	41782	18.6%
E	20891	9.3%
x	20891	9.3%
s	20891	9.3%
t	20891	9.3%
n	20891	9.3%
g	20891	9.3%
N	19140	8.5%
e	19140	8.5%
w	19140	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	224548	100.0%

Most frequent character per block

Value	Count	Frequency (%)
i	41782	18.6%
E	20891	9.3%
x	20891	9.3%
s	20891	9.3%
t	20891	9.3%
n	20891	9.3%
g	20891	9.3%
N	19140	8.5%
e	19140	8.5%
w	19140	8.5%

year_number
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	625.5 KiB

2019	40031

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	160124
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2019
2nd row	2019
3rd row	2019
4th row	2019
5th row	2019

Value	Count	Frequency (%)
2019	40031	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
2019	40031	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	40031	25.0%
0	40031	25.0%
1	40031	25.0%
9	40031	25.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	160124	100.0%

Most frequent character per category

Value	Count	Frequency (%)
2	40031	25.0%
0	40031	25.0%
1	40031	25.0%
9	40031	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	160124	100.0%

Most frequent character per script

Value	Count	Frequency (%)
2	40031	25.0%
0	40031	25.0%
1	40031	25.0%
9	40031	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	160124	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	40031	25.0%
0	40031	25.0%
1	40031	25.0%
9	40031	25.0%

week_number
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	52
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	26.83402863
Minimum	1
Maximum	52
Zeros	0
Zeros (%)	0.0%
Memory size	625.5 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	15
median	28
Q3	38
95-th percentile	50
Maximum	52
Range	51
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	14.32169504
Coefficient of variation (CV)	0.5337139362
Kurtosis	-1.077566579
Mean	26.83402863
Median Absolute Deviation (MAD)	12
Skewness	-0.03034840189
Sum	1074193
Variance	205.1109489
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
29	1234	3.1%
31	1192	3.0%
28	1076	2.7%
34	1046	2.6%
33	1039	2.6%
35	1027	2.6%
30	1026	2.6%
32	997	2.5%
49	961	2.4%
50	930	2.3%
Other values (42)	29503	73.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	631	1.6%
2	585	1.5%
3	637	1.6%
4	632	1.6%
5	568	1.4%

Value	Count	Frequency (%)
52	428	1.1%
51	772	1.9%
50	930	2.3%
49	961	2.4%
48	670	1.7%

month_number
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.576078539
Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Memory size	625.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	7
Q3	9
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.280530431
Coefficient of variation (CV)	0.4988581587
Kurtosis	-1.06641822
Mean	6.576078539
Median Absolute Deviation (MAD)	3
Skewness	-0.0295538037
Sum	263247
Variance	10.76187991
Monotocity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
8	4654	11.6%
7	4567	11.4%
5	3467	8.7%
3	3394	8.5%
4	3264	8.2%
12	3182	7.9%
10	3116	7.8%
6	3081	7.7%
9	2991	7.5%
2	2819	7.0%
Other values (2)	5496	13.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2737	6.8%
2	2819	7.0%
3	3394	8.5%
4	3264	8.2%
5	3467	8.7%

Value	Count	Frequency (%)
12	3182	7.9%
11	2759	6.9%
10	3116	7.8%
9	2991	7.5%
8	4654	11.6%

Coupon_Code
Categorical

HIGH CORRELATION

Distinct	46
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	625.5 KiB

SALE20	4828
SALE10	4513
SALE30	4355
ELEC10	3751
ELEC20	3511
Other values (41)	19073

Length

Max length	9
Median length	6
Mean length	5.866378557
Min length	4

Characters and Unicode

Total characters	234837
Distinct characters	30
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ELEC10
2nd row	ELEC10
3rd row	ELEC10
4th row	ELEC10
5th row	ELEC10

Value	Count	Frequency (%)
SALE20	4828	12.1%
SALE10	4513	11.3%
SALE30	4355	10.9%
ELEC10	3751	9.4%
ELEC20	3511	8.8%
ELEC30	3446	8.6%
EXTRA10	1814	4.5%
OFF10	1746	4.4%
EXTRA20	1725	4.3%
OFF20	1658	4.1%
Other values (36)	8684	21.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
sale20	4828	12.0%
sale10	4513	11.2%
sale30	4355	10.8%
elec10	3751	9.3%
elec20	3511	8.7%
elec30	3446	8.5%
extra10	1814	4.5%
off10	1746	4.3%
extra20	1725	4.3%
off20	1658	4.1%
Other values (37)	8993	22.3%

Most occurring characters

Value	Count	Frequency (%)
E	42727	18.2%
0	39722	16.9%
L	24404	10.4%
A	21108	9.0%
S	13696	5.8%
2	13596	5.8%
1	13559	5.8%
3	12567	5.4%
C	11712	5.0%
F	9744	4.1%
Other values (20)	32002	13.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	153230	65.2%
Decimal Number	79444	33.8%
Lowercase Letter	1854	0.8%
Space Separator	309	0.1%

Most frequent character per category

Value	Count	Frequency (%)
E	42727	27.9%
L	24404	15.9%
A	21108	13.8%
S	13696	8.9%
C	11712	7.6%
F	9744	6.4%
O	6360	4.2%
R	5572	3.6%
T	5202	3.4%
X	4991	3.3%
Other values (11)	7714	5.0%

Value	Count	Frequency (%)
0	39722	50.0%
2	13596	17.1%
1	13559	17.1%
3	12567	15.8%

Value	Count	Frequency (%)
o	927	50.0%
u	309	16.7%
p	309	16.7%
n	309	16.7%

Value	Count	Frequency (%)
	309	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	155084	66.0%
Common	79753	34.0%

Most frequent character per script

Value	Count	Frequency (%)
E	42727	27.6%
L	24404	15.7%
A	21108	13.6%
S	13696	8.8%
C	11712	7.6%
F	9744	6.3%
O	6360	4.1%
R	5572	3.6%
T	5202	3.4%
X	4991	3.2%
Other values (15)	9568	6.2%

Value	Count	Frequency (%)
0	39722	49.8%
2	13596	17.0%
1	13559	17.0%
3	12567	15.8%
	309	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	234837	100.0%

Most frequent character per block

Value	Count	Frequency (%)
E	42727	18.2%
0	39722	16.9%
L	24404	10.4%
A	21108	9.0%
S	13696	5.8%
2	13596	5.8%
1	13559	5.8%
3	12567	5.4%
C	11712	5.0%
F	9744	4.1%
Other values (20)	32002	13.6%

Discount_pct
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	625.5 KiB

20.0	13596
10.0	13559
30.0	12567
0.0	309

Length

Max length	4
Median length	4
Mean length	3.992280982
Min length	3

Characters and Unicode

Total characters	159815
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10.0
2nd row	10.0
3rd row	10.0
4th row	10.0
5th row	10.0

Value	Count	Frequency (%)
20.0	13596	34.0%
10.0	13559	33.9%
30.0	12567	31.4%
0.0	309	0.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
20.0	13596	34.0%
10.0	13559	33.9%
30.0	12567	31.4%
0.0	309	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	80062	50.1%
.	40031	25.0%
2	13596	8.5%
1	13559	8.5%
3	12567	7.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	119784	75.0%
Other Punctuation	40031	25.0%

Most frequent character per category

Value	Count	Frequency (%)
0	80062	66.8%
2	13596	11.4%
1	13559	11.3%
3	12567	10.5%

Value	Count	Frequency (%)
.	40031	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	159815	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	80062	50.1%
.	40031	25.0%
2	13596	8.5%
1	13559	8.5%
3	12567	7.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	159815	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	80062	50.1%
.	40031	25.0%
2	13596	8.5%
1	13559	8.5%
3	12567	7.9%

Marketing_Date
Date

Distinct	365
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	625.5 KiB

Minimum	2019-01-01 00:00:00
Maximum	2019-12-31 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

Offline_Spend
Real number (ℝ_≥0)

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2812.093128
Minimum	500
Maximum	5000
Zeros	0
Zeros (%)	0.0%
Memory size	625.5 KiB

Quantile statistics

Minimum	500
5-th percentile	1000
Q1	2500
median	3000
Q3	3500
95-th percentile	4000
Maximum	5000
Range	4500
Interquartile range (IQR)	1000

Descriptive statistics

Standard deviation	927.8449336
Coefficient of variation (CV)	0.329948153
Kurtosis	0.09180464913
Mean	2812.093128
Median Absolute Deviation (MAD)	500
Skewness	-0.3114640595
Sum	112570900
Variance	860896.2208
Monotocity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
3000	10027	25.0%
2500	7699	19.2%
3500	6955	17.4%
2000	5038	12.6%
4000	3680	9.2%
1500	1882	4.7%
1000	1377	3.4%
4500	1354	3.4%
500	826	2.1%
700	597	1.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
500	826	2.1%
700	597	1.5%
1000	1377	3.4%
1500	1882	4.7%
2000	5038	12.6%

Value	Count	Frequency (%)
5000	596	1.5%
4500	1354	3.4%
4000	3680	9.2%
3500	6955	17.4%
3000	10027	25.0%

Online_Spend
Real number (ℝ_≥0)

Distinct	365
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1873.168574
Minimum	320.25
Maximum	4556.93
Zeros	0
Zeros (%)	0.0%
Memory size	625.5 KiB

Quantile statistics

Minimum	320.25
5-th percentile	687.86
Q1	1196.03
median	1801.66
Q3	2424.5
95-th percentile	3396.14
Maximum	4556.93
Range	4236.68
Interquartile range (IQR)	1228.47

Descriptive statistics

Standard deviation	812.5039497
Coefficient of variation (CV)	0.4337591187
Kurtosis	-0.2152680107
Mean	1873.168574
Median Absolute Deviation (MAD)	609.73
Skewness	0.467008992
Sum	74984811.18
Variance	660162.6683
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1692.8	294	0.7%
2819.58	276	0.7%
985.28	260	0.6%
1331.1	258	0.6%
1108.88	241	0.6%
1542.81	224	0.6%
1946.56	218	0.5%
1128.09	218	0.5%
2489.36	216	0.5%
1901.56	215	0.5%
Other values (355)	37611	94.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
320.25	130	0.3%
417.73	132	0.3%
465.4	43	0.1%
478.27	131	0.3%
484.9	113	0.3%

Value	Count	Frequency (%)
4556.93	83	0.2%
4349.02	74	0.2%
4055.3	110	0.3%
4019.93	61	0.2%
3897.2	90	0.2%

revenue
Real number (ℝ_≥0)

SKEWED

Distinct	8077
Distinct (%)	20.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	192.2484246
Minimum	4.12
Maximum	115686
Zeros	0
Zeros (%)	0.0%
Memory size	625.5 KiB

Quantile statistics

Minimum	4.12
5-th percentile	8.8
Q1	19.59
median	51.54
Q3	155
95-th percentile	427.75
Maximum	115686
Range	115681.88
Interquartile range (IQR)	135.41

Descriptive statistics

Standard deviation	1450.441573
Coefficient of variation (CV)	7.544621372
Kurtosis	2484.930398
Mean	192.2484246
Median Absolute Deviation (MAD)	40.66
Skewness	42.29610585
Sum	7695896.685
Variance	2103780.756
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
125	1171	2.9%
155	971	2.4%
125.5	508	1.3%
250	411	1.0%
19.59	397	1.0%
155.5	388	1.0%
85	279	0.7%
16.63	266	0.7%
21.99	255	0.6%
22.99	235	0.6%
Other values (8067)	35150	87.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4.12	1	< 0.1%
4.185	1	< 0.1%
4.557	6	< 0.1%
4.65	1	< 0.1%
4.753	2	< 0.1%

Value	Count	Frequency (%)
115686	1	< 0.1%
109452.83	1	< 0.1%
78582.08	1	< 0.1%
65250	1	< 0.1%
60154.884	1	< 0.1%

revenue_per_customer
Real number (ℝ_≥0)

Distinct	734
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	27753.46303
Minimum	28.863
Maximum	257792.206
Zeros	0
Zeros (%)	0.0%
Memory size	625.5 KiB

Quantile statistics

Minimum	28.863
5-th percentile	1853.213
Q1	5094.736
median	10783.312
Q3	24715.743
95-th percentile	118511.709
Maximum	257792.206
Range	257763.343
Interquartile range (IQR)	19621.007

Descriptive statistics

Standard deviation	46116.52219
Coefficient of variation (CV)	1.661649292
Kurtosis	10.84155146
Mean	27753.46303
Median Absolute Deviation (MAD)	6815.056
Skewness	3.170178368
Sum	1110998879
Variance	2126733619
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
244509.716	695	1.7%
106406.408	587	1.5%
118511.709	575	1.4%
113573.419	572	1.4%
134516.474	523	1.3%
36400.311	366	0.9%
53675.804	315	0.8%
60381.669	297	0.7%
25601.119	290	0.7%
36940.336	261	0.7%
Other values (724)	35550	88.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
28.863	2	< 0.1%
62.22	2	< 0.1%
63.296	4	< 0.1%
71.18	2	< 0.1%
82.192	2	< 0.1%

Value	Count	Frequency (%)
257792.206	147	0.4%
245611.693	157	0.4%
244509.716	695	1.7%
137971.419	163	0.4%
134516.474	523	1.3%

revenue_seg
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	625.5 KiB

High_value	16470
Medium_value	13899
Low_value	9662

Length

Max length	12
Median length	10
Mean length	10.45304889
Min length	9

Characters and Unicode

Total characters	418446
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	High_value
2nd row	High_value
3rd row	High_value
4th row	High_value
5th row	High_value

Value	Count	Frequency (%)
High_value	16470	41.1%
Medium_value	13899	34.7%
Low_value	9662	24.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
high_value	16470	41.1%
medium_value	13899	34.7%
low_value	9662	24.1%

Most occurring characters

Value	Count	Frequency (%)
u	53930	12.9%
e	53930	12.9%
_	40031	9.6%
v	40031	9.6%
a	40031	9.6%
l	40031	9.6%
i	30369	7.3%
H	16470	3.9%
g	16470	3.9%
h	16470	3.9%
Other values (6)	70683	16.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	338384	80.9%
Uppercase Letter	40031	9.6%
Connector Punctuation	40031	9.6%

Most frequent character per category

Value	Count	Frequency (%)
u	53930	15.9%
e	53930	15.9%
v	40031	11.8%
a	40031	11.8%
l	40031	11.8%
i	30369	9.0%
g	16470	4.9%
h	16470	4.9%
d	13899	4.1%
m	13899	4.1%
Other values (2)	19324	5.7%

Value	Count	Frequency (%)
H	16470	41.1%
M	13899	34.7%
L	9662	24.1%

Value	Count	Frequency (%)
_	40031	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	378415	90.4%
Common	40031	9.6%

Most frequent character per script

Value	Count	Frequency (%)
u	53930	14.3%
e	53930	14.3%
v	40031	10.6%
a	40031	10.6%
l	40031	10.6%
i	30369	8.0%
H	16470	4.4%
g	16470	4.4%
h	16470	4.4%
M	13899	3.7%
Other values (5)	56784	15.0%

Value	Count	Frequency (%)
_	40031	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	418446	100.0%

Most frequent character per block

Value	Count	Frequency (%)
u	53930	12.9%
e	53930	12.9%
_	40031	9.6%
v	40031	9.6%
a	40031	9.6%
l	40031	9.6%
i	30369	7.3%
H	16470	3.9%
g	16470	3.9%
h	16470	3.9%
Other values (6)	70683	16.9%

days_bw_visits
Real number (ℝ_≥0)

Distinct	382
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	54.69418114
Minimum	1
Maximum	351
Zeros	0
Zeros (%)	0.0%
Memory size	625.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	15.26086957
median	43.66666667
Q3	74
95-th percentile	158
Maximum	351
Range	350
Interquartile range (IQR)	58.73913043

Descriptive statistics

Standard deviation	52.57700312
Coefficient of variation (CV)	0.9612906167
Kurtosis	4.667905908
Mean	54.69418114
Median Absolute Deviation (MAD)	28.4057971
Skewness	1.804998284
Sum	2189462.765
Variance	2764.341257
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	5490	13.7%
7.575757576	695	1.7%
15.26086957	587	1.5%
16	584	1.5%
13.42307692	575	1.4%
17.73684211	572	1.4%
13.76	523	1.3%
40.6	376	0.9%
43	373	0.9%
50	354	0.9%
Other values (372)	29902	74.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	5490	13.7%
1.5	29	0.1%
2	133	0.3%
2.5	45	0.1%
2.777777778	297	0.7%

Value	Count	Frequency (%)
351	62	0.2%
344	34	0.1%
332	17	< 0.1%
325	19	< 0.1%
307	17	< 0.1%

Visit_days_average
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	625.5 KiB

Less than 30 days visit	14239
More than 60 days visit	13939
More than 30 & Less than 60 days visit	11853

Length

Max length	38
Median length	23
Mean length	27.44143289
Min length	23

Characters and Unicode

Total characters	1098508
Distinct characters	19
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Less than 30 days visit
2nd row	Less than 30 days visit
3rd row	Less than 30 days visit
4th row	Less than 30 days visit
5th row	Less than 30 days visit

Value	Count	Frequency (%)
Less than 30 days visit	14239	35.6%
More than 60 days visit	13939	34.8%
More than 30 & Less than 60 days visit	11853	29.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
than	51884	21.0%
days	40031	16.2%
visit	40031	16.2%
less	26092	10.5%
30	26092	10.5%
more	25792	10.4%
60	25792	10.4%
	11853	4.8%

Most occurring characters

Value	Count	Frequency (%)
	207536	18.9%
s	132246	12.0%
t	91915	8.4%
a	91915	8.4%
i	80062	7.3%
e	51884	4.7%
h	51884	4.7%
n	51884	4.7%
0	51884	4.7%
d	40031	3.6%
Other values (9)	247267	22.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	723467	65.9%
Space Separator	207536	18.9%
Decimal Number	103768	9.4%
Uppercase Letter	51884	4.7%
Other Punctuation	11853	1.1%

Most frequent character per category

Value	Count	Frequency (%)
s	132246	18.3%
t	91915	12.7%
a	91915	12.7%
i	80062	11.1%
e	51884	7.2%
h	51884	7.2%
n	51884	7.2%
d	40031	5.5%
y	40031	5.5%
v	40031	5.5%
Other values (2)	51584	7.1%

Value	Count	Frequency (%)
0	51884	50.0%
3	26092	25.1%
6	25792	24.9%

Value	Count	Frequency (%)
L	26092	50.3%
M	25792	49.7%

Value	Count	Frequency (%)
	207536	100.0%

Value	Count	Frequency (%)
&	11853	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	775351	70.6%
Common	323157	29.4%

Most frequent character per script

Value	Count	Frequency (%)
s	132246	17.1%
t	91915	11.9%
a	91915	11.9%
i	80062	10.3%
e	51884	6.7%
h	51884	6.7%
n	51884	6.7%
d	40031	5.2%
y	40031	5.2%
v	40031	5.2%
Other values (4)	103468	13.3%

Value	Count	Frequency (%)
	207536	64.2%
0	51884	16.1%
3	26092	8.1%
6	25792	8.0%
&	11853	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1098508	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	207536	18.9%
s	132246	12.0%
t	91915	8.4%
a	91915	8.4%
i	80062	7.3%
e	51884	4.7%
h	51884	4.7%
n	51884	4.7%
0	51884	4.7%
d	40031	3.6%
Other values (9)	247267	22.5%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	CustomerID	Transaction_ID	Transaction_Date	Product_SKU	Product_Description	Product_Category	Quantity	Avg_Price	Delivery_Charges	Coupon_Status	Gender	Location	Tenure_Months	GST	Transaction_Date_Month_x	Transaction_Date_Month_y	User_type	year_number	week_number	month_number	Coupon_Code	Discount_pct	Marketing_Date	Offline_Spend	Online_Spend	revenue	revenue_per_customer	revenue_seg	days_bw_visits	Visit_days_average
0	17850	16679	2019-01-01	GGOENEBJ079499	Nest Learning Thermostat 3rd Gen-USA - Stainless Steel	Nest-USA	1	153.71	6.50	Used	M	Chicago	12	0.1	2019-01	2019-01	New	2019	1	1	ELEC10	10.0	2019-01-01	4500	2424.5	144.189	60381.669	High_value	2.777778	Less than 30 days visit
1	17850	16680	2019-01-01	GGOENEBJ079499	Nest Learning Thermostat 3rd Gen-USA - Stainless Steel	Nest-USA	1	153.71	6.50	Used	M	Chicago	12	0.1	2019-01	2019-01	New	2019	1	1	ELEC10	10.0	2019-01-01	4500	2424.5	144.189	60381.669	High_value	2.777778	Less than 30 days visit
2	17850	16696	2019-01-01	GGOENEBQ078999	Nest Cam Outdoor Security Camera - USA	Nest-USA	2	122.77	6.50	Not Used	M	Chicago	12	0.1	2019-01	2019-01	New	2019	1	1	ELEC10	10.0	2019-01-01	4500	2424.5	258.540	60381.669	High_value	2.777778	Less than 30 days visit
3	17850	16699	2019-01-01	GGOENEBQ079099	Nest Protect Smoke + CO White Battery Alarm-USA	Nest-USA	1	81.50	6.50	Clicked	M	Chicago	12	0.1	2019-01	2019-01	New	2019	1	1	ELEC10	10.0	2019-01-01	4500	2424.5	88.000	60381.669	High_value	2.777778	Less than 30 days visit
4	17850	16700	2019-01-01	GGOENEBJ079499	Nest Learning Thermostat 3rd Gen-USA - Stainless Steel	Nest-USA	1	153.71	6.50	Clicked	M	Chicago	12	0.1	2019-01	2019-01	New	2019	1	1	ELEC10	10.0	2019-01-01	4500	2424.5	160.210	60381.669	High_value	2.777778	Less than 30 days visit
5	17850	16701	2019-01-01	GGOENEBJ079499	Nest Learning Thermostat 3rd Gen-USA - Stainless Steel	Nest-USA	1	153.71	6.50	Clicked	M	Chicago	12	0.1	2019-01	2019-01	New	2019	1	1	ELEC10	10.0	2019-01-01	4500	2424.5	160.210	60381.669	High_value	2.777778	Less than 30 days visit
6	17850	16702	2019-01-01	GGOENEBJ079499	Nest Learning Thermostat 3rd Gen-USA - Stainless Steel	Nest-USA	2	153.71	6.50	Clicked	M	Chicago	12	0.1	2019-01	2019-01	New	2019	1	1	ELEC10	10.0	2019-01-01	4500	2424.5	320.420	60381.669	High_value	2.777778	Less than 30 days visit
7	17850	16703	2019-01-01	GGOENEBQ079099	Nest Protect Smoke + CO White Battery Alarm-USA	Nest-USA	2	81.50	6.50	Not Used	M	Chicago	12	0.1	2019-01	2019-01	New	2019	1	1	ELEC10	10.0	2019-01-01	4500	2424.5	176.000	60381.669	High_value	2.777778	Less than 30 days visit
8	17850	16704	2019-01-01	GGOENEBJ079499	Nest Learning Thermostat 3rd Gen-USA - Stainless Steel	Nest-USA	1	256.88	6.50	Used	M	Chicago	12	0.1	2019-01	2019-01	New	2019	1	1	ELEC10	10.0	2019-01-01	4500	2424.5	237.042	60381.669	High_value	2.777778	Less than 30 days visit
9	17850	16710	2019-01-01	GGOENEBJ079499	Nest Learning Thermostat 3rd Gen-USA - Stainless Steel	Nest-USA	1	153.71	28.78	Clicked	M	Chicago	12	0.1	2019-01	2019-01	New	2019	1	1	ELEC10	10.0	2019-01-01	4500	2424.5	182.490	60381.669	High_value	2.777778	Less than 30 days visit

Last rows

	CustomerID	Transaction_ID	Transaction_Date	Product_SKU	Product_Description	Product_Category	Quantity	Avg_Price	Delivery_Charges	Coupon_Status	Gender	Location	Tenure_Months	GST	Transaction_Date_Month_x	Transaction_Date_Month_y	User_type	year_number	week_number	month_number	Coupon_Code	Discount_pct	Marketing_Date	Offline_Spend	Online_Spend	revenue	revenue_per_customer	revenue_seg	days_bw_visits	Visit_days_average
40021	16359	37354	2019-09-04	GGOEGAAB033814	Google Men's Vintage Badge Tee Black	Apparel	1	7.60	6.5	Clicked	F	New York	49	0.18	2019-09	2019-08	Existing	2019	36	9	SALE30	30.0	2019-09-04	2500	1255.01	14.10	89.152	Low_value	13.0	Less than 30 days visit
40022	16359	36274	2019-08-22	GGOEGDHQ015399	26 oz Double Wall Insulated Bottle	Drinkware	1	19.99	6.5	Clicked	F	New York	49	0.18	2019-08	2019-08	New	2019	34	8	EXTRA20	20.0	2019-08-22	2500	1172.96	26.49	89.152	Low_value	13.0	Less than 30 days visit
40023	16359	36273	2019-08-22	GGOEGHPJ080310	Google Blackout Cap	Headgear	1	13.29	6.0	Not Used	F	New York	49	0.05	2019-08	2019-08	New	2019	34	8	HGEAR20	20.0	2019-08-22	2500	1172.96	19.29	89.152	Low_value	13.0	Less than 30 days visit
40024	15171	36604	2019-08-25	GGOEGAAJ059116	Google Men's Short Sleeve Performance Badge Tee Pewter	Apparel	1	8.80	6.0	Used	F	New Jersey	48	0.18	2019-08	2019-08	New	2019	34	8	SALE20	20.0	2019-08-25	2500	1941.38	11.84	146.860	Low_value	28.0	Less than 30 days visit
40025	15171	36604	2019-08-25	GGOEGALB036514	Google Women's Scoop Neck Tee Black	Apparel	2	4.80	6.0	Clicked	F	New Jersey	48	0.18	2019-08	2019-08	New	2019	34	8	SALE20	20.0	2019-08-25	2500	1941.38	21.60	146.860	Low_value	28.0	Less than 30 days visit
40026	15171	36604	2019-08-25	GGOEGALJ034415	Google Women's Vintage Hero Tee Platinum	Apparel	1	4.56	6.0	Clicked	F	New Jersey	48	0.18	2019-08	2019-08	New	2019	34	8	SALE20	20.0	2019-08-25	2500	1941.38	10.56	146.860	Low_value	28.0	Less than 30 days visit
40027	15171	36604	2019-08-25	GGOEGALP034315	Google Women's Vintage Hero Tee Lavender	Apparel	1	7.60	6.0	Not Used	F	New Jersey	48	0.18	2019-08	2019-08	New	2019	34	8	SALE20	20.0	2019-08-25	2500	1941.38	13.60	146.860	Low_value	28.0	Less than 30 days visit
40028	15171	36604	2019-08-25	GGOEGALQ036614	Google Women's Scoop Neck Tee White	Apparel	2	4.80	6.0	Used	F	New Jersey	48	0.18	2019-08	2019-08	New	2019	34	8	SALE20	20.0	2019-08-25	2500	1941.38	17.28	146.860	Low_value	28.0	Less than 30 days visit
40029	15171	38754	2019-09-22	GGOEGAAJ073413	Google Men's Short Sleeve Hero Tee Heather	Apparel	1	15.19	6.0	Clicked	F	New Jersey	48	0.18	2019-09	2019-08	Existing	2019	38	9	SALE30	30.0	2019-09-22	2500	1895.73	21.19	146.860	Low_value	28.0	Less than 30 days visit
40030	15171	38755	2019-09-22	GGOEGAFB035815	Google Men's Zip Hoodie	Apparel	1	44.79	6.0	Clicked	F	New Jersey	48	0.18	2019-09	2019-08	Existing	2019	38	9	SALE30	30.0	2019-09-22	2500	1895.73	50.79	146.860	Low_value	28.0	Less than 30 days visit

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters